Internet Of Things Will Demand Continuous Development
The Internet of Things will add so much programmability to devices that keeping software current will become a never-ending task.
In modern software development, we are accustomed to seeing the term continuous used in expressions such as "continuous integration" and "continuous delivery." Curiously, in neither context does the word carry its regular non-technical meaning of uninterrupted activity. When continuous integration (CI) first appeared on the scene, the adjective "continuous" was hyperbolic and meant to emphasize that integration (also a misnomer, meaning assembly and build) would be done several times a day rather than once or twice a week. Continuous delivery reflects a similar view of an activity done "several times a day," although some organizations certainly deliver more frequently than that.
So far, these are the two primary applications of the word. However, an upcoming sea change in the fabric of software development suggests that programmers will soon be truly developing continuously. More specifically, continuously working on completed apps.
That sea change is the Internet of Things (IoT), which refers to networking and smarts embedded into almost every item sold. In the IoT scenario, which seems to be only a few years off, you'll be able to check the temperature inside your refrigerator, whether the lights are on at your home, how full your hot water heater is -- all from the dashboard display of your car. Everything will be wired and give you access to far more data than you ever needed.
Prior to joining Dr. Dobb's Journal, Andrew Binstock worked as a technology analyst, as well as a columnist for SD Times, a reviewer for InfoWorld, and the editor of UNIX Review. Before that, he was a senior manager at Price Waterhouse. He began his career in software ... View Full Bio
The Agile ArchiveWhen it comes to managing data, donít look at backup and archiving systems as burdens and cost centers. A well-designed archive can enhance data protection and restores, ease search and e-discovery efforts, and save money by intelligently moving data from expensive primary storage systems.
2014 Analytics, BI, and Information Management SurveyITís tried for years to simplify data analytics and business intelligence efforts. Have visual analysis tools and Hadoop and NoSQL databases helped? Respondents to our 2014 InformationWeek Analytics, Business Intelligence, and Information Management Survey have a mixed outlook.
. We've got a management crisis right now, and we've also got an engagement crisis. Could the two be linked? Tune in for the next installment of IT Life Radio, Wednesday May 20th at 3PM ET to find out.